What programming languages does the Code Review skill support?

While it includes specialized patterns for Python and JavaScript/TypeScript, the skill provides logic, security, and maintainability reviews for any programming language.

How does it help with performance optimization?

The skill identifies common performance anti-patterns like N+1 database queries, memory leaks, and blocking I/O operations in asynchronous code.

Can this skill detect security vulnerabilities?

Yes, it specifically scans for injection vulnerabilities, authentication issues, data exposure, and insecure dependencies using both manual checks and automated tools.

Does it provide actionable fixes?

Yes, every critical issue identified in the review includes a description of the impact and a specific suggested fix or code snippet.

Code Review Expert

Name: Code Review Expert
Author: shareAI-lab

byshareAI-lab

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15,998

Security & Testing

Performs comprehensive code audits focusing on security vulnerabilities, performance bottlenecks, and maintainability standards.

About

The Code Review skill transforms Claude into a senior-level auditor capable of conducting deep-dive analyses of codebases and pull requests. It employs a rigorous, multi-layered checklist to identify critical security flaws like SQL injection and hardcoded credentials, performance issues such as N+1 queries, and maintainability concerns like high cyclomatic complexity. By providing structured feedback with actionable fixes, it helps developers improve code quality and security before deployment across various languages including Python and JavaScript.

Key Features

Automated command execution for dependency audits and complexity scanning
15,998 GitHub stars
Standardized review reports with categorized issues and suggested fixes
Maintainability checks for naming, nesting depth, and code duplication
Security-first auditing for injection, authentication, and data exposure flaws
Performance analysis to identify memory leaks and inefficient algorithms

Use Cases

Pre-commit security audits to catch vulnerabilities before merging
Refactoring legacy code to reduce technical debt and complexity
Automating peer reviews to ensure consistent coding standards

About

Key Features

Automated command execution for dependency audits and complexity scanning
15,998 GitHub stars
Standardized review reports with categorized issues and suggested fixes
Maintainability checks for naming, nesting depth, and code duplication
Security-first auditing for injection, authentication, and data exposure flaws
Performance analysis to identify memory leaks and inefficient algorithms

Use Cases

Pre-commit security audits to catch vulnerabilities before merging
Refactoring legacy code to reduce technical debt and complexity
Automating peer reviews to ensure consistent coding standards